Cat Vs Dog Image Classification Project | Deep Learning Project | CNN Project
Vložit
- čas přidán 1. 06. 2024
- Dataset used - www.kaggle.com/datasets/salad...
Google Colab Notebook - colab.research.google.com/dri...
============================
Do you want to learn from me?
Check my affordable mentorship program at : learnwith.campusx.in
============================
📱 Grow with us:
CampusX' LinkedIn: / campusx-official
CampusX on Instagram for daily tips: / campusx.official
My LinkedIn: / nitish-singh-03412789
Discord: / discord
👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!
💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
⌚Time Stamps⌚
00:00 - Intro
01:15 - Kaggle Dataset
03:15 - Code Exmaple
You are that 'Dataset' which does not required any EDA...you are the best bro...keep up the good work.... LUV U 3000 😜
Thanku very much for efforts you put for everyone here who wants to learn data science & its new domains . Your sessions always provide some new & helpful information. I don't have words to praise for this channel. I never know how to unzip file, trying to google ; don't understand. U showed a code for that & it worked. I learned a small , new thing & it was helpful . Thanku so much.
Your way of explaination is too good brother, i learned many concepts from your video, thank you so much
Now days I rely on your videos to get clear understanding of concepts. Your explanation method is so easy. Thank you very much Sir!!!!
Enjoy your teaching style, all things to the point.
Come with more Awesome project ❤️✔️
We are always here to support and trust you 🎯❤️
Thank you Nitish sir for continuously putting your efforts!!
bina daadi mooch wala Krish Naik.... But he has keen understanding of the topics... loves his video💗
loved answering some questions in the comments, helped boost my confidence regarding the topics.
Excellent explanation sir! But will you please make a classification using pytorch once.
I have no words to thank you brother ....❤❤
Congratulations for 40K sir !
A very informative very good teaching style, good learning experience ❤
Hello sir, I am getting 1.0 accuracy for both training and validation set with the same code. Is it correct or am I doing overfitting. Can you please help me out ?
You explained it very well. thank u so much bro. big like from Afghanistan.
Sir we can rescale the image with flow from directory method in image data generator. We don't need to do it separately.
25:13 Just some habits of true RCB Fans....😂
Thanks for the video sir. Your videos are of 11/10 ratings❤
Really helpful and informative videos!!!
Hello Nitish sir.
You asked us about starting the mentorship program again. Can we expect the same anytime soon?
Very Good Sir , NIce Understanding Of Every Concept
Congratulations for reaching 40k .. Very soon it will be on 1 lack
Which is best for NLP tensorflow or pytorch ?
Can you show this project with deployment in heroku or other cloud platforms. Because deploying a deep learning model is a great issue..
Sir I am beginner..can u help me which playlist is worth for watching as I have to submit my project at the end of this month
in fitting the model it's showing the error Value error : Shapes (None,6) and (None,1) are incompatible
I have used facial emotions data having 6 categories
Sirji itt would be more helpful if u could explain the parameter and it's particular values why u have used in this project..while creating cnn model like padding, stride etc
Thank you Bro For this, Lot's of help..
Thank you sir I have learn alot of things
Please cover Callbacks,schedule learning rate ,tensorboard etc
the topic is well explained in depth.
Bhai I think class weights de sakte hain model ko ya fir sampling kar sakte hain. Data Augmentation mein randomflip ya RandomRotation ya RandomContrast use kar sakte hai!!!
Also, this image_dataset_from_directory waala concept to tagda laga mujhe!! I will try this on one of my pipelines.
Great explanation brother.
Brother I got a small doubt, what's l1 and l2 regularization in CNN
Wonderful explanations by you Krish.....Linear regression is on my tips explained by you now...and so the other M/L videos....This again CNN implemetation you made so simplified for us the beginners....Please keep uploading your videos of DEEP learning too.....thanku so much ......
Who is krish here
he is nitish
new subscriber thank you so much for the ai projects
Amazing one Nitish Sir
I have issue in the code the image data of dtype object cannot be converted to float
Thanks, sir for an amazing lecture
I solve overfitting to some extent gotan accuracy 94 and Val accuracy 90
Added one conv and pooling , one fc, Dropdown 0.3
can you share your notebook with me?
did we shuffle our dataset before training??
When i run it says that the dataset have a lot of corrupted files, and then it stops
Sir how we select the GPU option in Jupyter notebook, plz respond .
Sir, I haven' t used your cnn architecture, I took 4 convolutional layers, kerel_sizes (10,20,40,80) and four fully connected layers with neurons each( 80, 40, 20, 10, 1) . I got accuracy of 99.92%. I will become a top-notch data scientist with your videos. your hardwork payoffs sir.
uhhh what
broooooo!!!!! htf u got share me the code pleaseeeee!
Sure
share me link broo plz...and there's also a problem uk..like for both cat and dog my model is giving me 1 as output..ifyk the solution please tell me that also :)@@jayanthkothapalli9.2
please share your code with me also ,, please@@jayanthkothapalli9.2
well done sir !
bhi ap ny buhat achi terhain samjaya hai
Hello sir....there is error in my plt.imshow(test_img) codeline....( image cannot be stored in float format )is showing sir
Can you give me the code to show precesion,recall and F1 score on test set addition to this code
can I use this model for leaf dease prediction?
Bhaiya congo for 40k
Hello sir. Great playlist sir.
It was excellent for beginners
How to show any random picture in my dataset ?
Sir pls make a video on k fold cross validation
Sir maine abhut saara video dekha par usme acche se explain nahi Kiya gaya hai
Aap ek video banao aur statistics par bhi video banao
Apne playlist me dusre ka video daala hai
Sir it's very important for me I am watching only your video , getting understand with your video only
Humble request from honest student to best teacher
Sir, If we will give another image of our model so, Our model what will give the result
very helpful video!
Which Ide is best for this
How to get the confusion matrix, classification report and auc roc curve after this code? Kindly guide
If model provide lion image . model predict undefined class it is possible?
Sir mai nahi samajh paya matlab pehle img ko kaise kaiss badalna hai wo nahi samajh paya sir pehle numpy array fir resize aur ffir bahut sa process sir plehse drtils me samjhaye
Sir ji mast explanation
which algorithm is use in this??
Sir plz send me link about software I want to learn From basic
thanks a lot but please add English subtitles to your videos
Can You help me
I write the whole project but when i give dog picture link then gives 0 Or i give cat picture it give 0 for both the picture
what is wrong ?
either some issue while training or just the fact that the accuracy of the model isn't high enough to distinguish between the two images, besides, the images could be very similar to each other as well.
@CampusX mere me to create api token ka option hi ni hai khi.
Good knowledge
You are the best.....😄😄😄😄
TypeError: Image data of dtype object cannot be converted to float
I can't this type arror problem solve... please help me
how can i solve this error ...............
Great tutorial. The only problem is, I don't understand Indian.
Excellent tutorial !
25:40 here, don't we need to normalize the pixel values before predicting? as the model is trained on the normalized data
i think it is not necessary to do so because he added the "batch normalization" layer after each convolution layer in the model which does the job for him already.
Thankyou very much
make a program to compare a square and a triangle so that when you show the photo it shows whether it is a triangle or a square
Not working. I am getting 0 from all images
But it works untill we are connected to internet. kaggle.json file expires and I have to restart all the process. any solution??
Hii, how to classify images and automatically segregation move them to folder(s) based on their classification, you can use a combination of image processing techniques and file management tools.please help . Trapped camera images maximum 18 lakhs capture wild animals, storage extranal hard disk . Please help 🙏🙏🙏
i getting both case are 1 how can solve?
sir my val_accuracy = 0.8650 and accuracy = 0.9843 I have increased 1 conv and pooling layer and , and increased 1 FC layer also, now working to avoid overfitting.
Hey can you send me the link of your source code because my code is all good but the output of my code is 0 for every input for dog and cat both
@@GeekyGaming0 It's happened due to imbalance dataset
can we use same technique for accident detection
Please anyone reply who knows the answer please
best playlist
I am getting 1 all time,,,how can i solve it?
thank you for the efforrts and the information , but it would be better if you explain in english while coding , in order to beneffit all the audience from different countries , not just indians
Thank you sir
why my code is not supporting normalization and i am getting loss as nan as well as accuracy is not increasing
what is labels = inferred?
circular dependency for the process function how to resolve it
agar mera project oral cancer pe h...jisme cancerous images aur non cancerous images ko classify krna h cnn se...but nahi ho rha h...aur project ka graph ke beech ka gap kam h bina BatchNormalization aur Dropout ke, toh mei use nahi kru??
meri accuracy mei 63% change ho rhi h bina BatchNormalization aur Dropout use kiye, aur jab use kr rha hoon toh 41% aaraha h??
1.try increasing the complexity of the model to see if it properly overfits the data, uske baad use the dropout layer and batch normalization.
2. try using any one at a time like batch normalization or dropout layer and not together.
Please cover lightgbm and time series
Thanks
Sir please add Object Detection Lectures using RCNN Faster RCNN and YOLO Versions
Sir can i get report of this project
Sir normalisation me error aa rha h please correct code btaiye
sir kb hm xml file ka use krte h image classifications me any one tell me
THANKS A TON
great
thanks sir
sir, how did you downloaded cat and dog image from google ?Time:24:47
Nice project, excellent explanation
Sir please start transfer learning and RNN
what if I used images other than dog and cat as test images, is the network will be able to predict if it is not a dog or a cat?
no, it is trained to predict if a particular image looks like a dog or a cat, so it will choose the prediction which seems closer to the image that has been input.
Can i use the same code if the dataset has 80 different animals instead of just cats and dogs?
yes u can but in last dense layer make the activation as 'sigmoid' and neurons as '79' in place of '1'.
Hi sir
I trained model . It is with 98% accuracy. But do not predict correct.
I am unable to find generator video on your channel, could you please share the link of your generator video sir..